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CatBoost
State-of-the-art open-source gradient boosting on decision trees library with categorical features support.
What is CatBoost?
State-of-the-art open-source gradient boosting on decision trees library with categorical features support. Offers Python, R, and command-line interfaces; integrates with scikit-learn; supports custom loss functions.
Product typeDeveloper Tools & Platforms
Pricing ·
Deployment
APINot available
What teams use CatBoost for
ranking tasks
forecasting
making recommendations
general machine learning on tabular data with categorical features
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
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Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
